An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry

Standard

An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry. / Guan, Yudong; Zhang, Min; Gaikwad, Manasi; Voss, Hannah; Fazel, Ramin; Ansari, Samira; Shen, Huali; Wang, Jigang; Schlüter, Hartmut.

in: J PROTEOME RES, Jahrgang 20, Nr. 7, 02.07.2021, S. 3654-3663.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Guan, Y, Zhang, M, Gaikwad, M, Voss, H, Fazel, R, Ansari, S, Shen, H, Wang, J & Schlüter, H 2021, 'An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry', J PROTEOME RES, Jg. 20, Nr. 7, S. 3654-3663. https://doi.org/10.1021/acs.jproteome.1c00221

APA

Guan, Y., Zhang, M., Gaikwad, M., Voss, H., Fazel, R., Ansari, S., Shen, H., Wang, J., & Schlüter, H. (2021). An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry. J PROTEOME RES, 20(7), 3654-3663. https://doi.org/10.1021/acs.jproteome.1c00221

Vancouver

Bibtex

@article{261f231d2d6749228d214f1f194bf6db,
title = "An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry",
abstract = "The characterization of therapeutic glycoproteins is challenging due to the structural heterogeneity of the therapeutic protein glycosylation. This study presents an in-depth analytical strategy for glycosylation of first-generation erythropoietin (epoetin beta), including a developed mass spectrometric workflow for N-glycan analysis, bottom-up mass spectrometric methods for site-specific N-glycosylation, and a LC-MS approach for O-glycan identification. Permethylated N-glycans, peptides, and enriched glycopeptides of erythropoietin were analyzed by nanoLC-MS/MS, and de-N-glycosylated erythropoietin was measured by LC-MS, enabling the qualitative and quantitative analysis of glycosylation and different glycan modifications (e.g., phosphorylation and O-acetylation). The newly developed Python scripts enabled the identification of 140 N-glycan compositions (237 N-glycan structures) from erythropoietin, especially including 8 phosphorylated N-glycan species. The site-specificity of N-glycans was revealed at the glycopeptide level by pGlyco software using different proteases. In total, 114 N-glycan compositions were identified from glycopeptide analysis. Moreover, LC-MS analysis of de-N-glycosylated erythropoietin species identified two O-glycan compositions based on the mass shifts between non-O-glycosylated and O-glycosylated species. Finally, this integrated strategy was proved to realize the in-depth glycosylation analysis of a therapeutic glycoprotein to understand its pharmacological properties and improving the manufacturing processes.",
author = "Yudong Guan and Min Zhang and Manasi Gaikwad and Hannah Voss and Ramin Fazel and Samira Ansari and Huali Shen and Jigang Wang and Hartmut Schl{\"u}ter",
year = "2021",
month = jul,
day = "2",
doi = "10.1021/acs.jproteome.1c00221",
language = "English",
volume = "20",
pages = "3654--3663",
journal = "J PROTEOME RES",
issn = "1535-3893",
publisher = "American Chemical Society",
number = "7",

}

RIS

TY - JOUR

T1 - An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry

AU - Guan, Yudong

AU - Zhang, Min

AU - Gaikwad, Manasi

AU - Voss, Hannah

AU - Fazel, Ramin

AU - Ansari, Samira

AU - Shen, Huali

AU - Wang, Jigang

AU - Schlüter, Hartmut

PY - 2021/7/2

Y1 - 2021/7/2

N2 - The characterization of therapeutic glycoproteins is challenging due to the structural heterogeneity of the therapeutic protein glycosylation. This study presents an in-depth analytical strategy for glycosylation of first-generation erythropoietin (epoetin beta), including a developed mass spectrometric workflow for N-glycan analysis, bottom-up mass spectrometric methods for site-specific N-glycosylation, and a LC-MS approach for O-glycan identification. Permethylated N-glycans, peptides, and enriched glycopeptides of erythropoietin were analyzed by nanoLC-MS/MS, and de-N-glycosylated erythropoietin was measured by LC-MS, enabling the qualitative and quantitative analysis of glycosylation and different glycan modifications (e.g., phosphorylation and O-acetylation). The newly developed Python scripts enabled the identification of 140 N-glycan compositions (237 N-glycan structures) from erythropoietin, especially including 8 phosphorylated N-glycan species. The site-specificity of N-glycans was revealed at the glycopeptide level by pGlyco software using different proteases. In total, 114 N-glycan compositions were identified from glycopeptide analysis. Moreover, LC-MS analysis of de-N-glycosylated erythropoietin species identified two O-glycan compositions based on the mass shifts between non-O-glycosylated and O-glycosylated species. Finally, this integrated strategy was proved to realize the in-depth glycosylation analysis of a therapeutic glycoprotein to understand its pharmacological properties and improving the manufacturing processes.

AB - The characterization of therapeutic glycoproteins is challenging due to the structural heterogeneity of the therapeutic protein glycosylation. This study presents an in-depth analytical strategy for glycosylation of first-generation erythropoietin (epoetin beta), including a developed mass spectrometric workflow for N-glycan analysis, bottom-up mass spectrometric methods for site-specific N-glycosylation, and a LC-MS approach for O-glycan identification. Permethylated N-glycans, peptides, and enriched glycopeptides of erythropoietin were analyzed by nanoLC-MS/MS, and de-N-glycosylated erythropoietin was measured by LC-MS, enabling the qualitative and quantitative analysis of glycosylation and different glycan modifications (e.g., phosphorylation and O-acetylation). The newly developed Python scripts enabled the identification of 140 N-glycan compositions (237 N-glycan structures) from erythropoietin, especially including 8 phosphorylated N-glycan species. The site-specificity of N-glycans was revealed at the glycopeptide level by pGlyco software using different proteases. In total, 114 N-glycan compositions were identified from glycopeptide analysis. Moreover, LC-MS analysis of de-N-glycosylated erythropoietin species identified two O-glycan compositions based on the mass shifts between non-O-glycosylated and O-glycosylated species. Finally, this integrated strategy was proved to realize the in-depth glycosylation analysis of a therapeutic glycoprotein to understand its pharmacological properties and improving the manufacturing processes.

U2 - 10.1021/acs.jproteome.1c00221

DO - 10.1021/acs.jproteome.1c00221

M3 - SCORING: Journal article

C2 - 34110173

VL - 20

SP - 3654

EP - 3663

JO - J PROTEOME RES

JF - J PROTEOME RES

SN - 1535-3893

IS - 7

ER -